Security, Governance, Risk
AI Governance, Cybersecurity & Enterprise Risk for CIOs
Philip Neufeld, Executive Officer of IT at Fresno Unified School District, on why school networks underpin access, security, and workforce readiness.
Aaron Weller, Privacy Innovation and Assurance Leader at HP, argued that financial discipline is becoming the most effective AI governance control as enterprises confront token spend, unproven ROI, and accountability gaps created by fast adoption.
Pamela Austin, a healthcare IT executive and advisor, on why digital transformations stall on leadership alignment and who has to own the outcome.
Claudionor Coelho, Senior Fellow for AI at Majestic Labs, on the renewal rate companies won't admit and why the data and connections a demo skips decide whether agents survive.
Gregory Baran, Deputy CIO at Tenable, reflected on a year of building and managing 36 personal AI agents to argue that enterprise trust in agentic AI must be enforced through architectural controls and identity layers, not written governance policy.
Ann Dunkin, Distinguished Professor at Georgia Institute of Technology, framed energy reliability as a CIO-owned strategic risk as AI demand collides with grid instability.
Bill Willis, CTO and Head of Advisory at IDMWORKS, on how healthcare IAM breaks when single identities meet multi-persona reality and why orchestration restores access, security, and care.
Ed Gaudet, CEO and Founder of Censinet, discusses how always-on vendor AI is expanding healthcare risk after deployment.
David Cross, CISO of Atlassian, on how enterprises are becoming AI-native by embedding security, governance, and human oversight into intelligent workflows.
Anthony Moisant, CIO and CSO at Indeed, detailed how a trust-first design enables faster, safer, and more responsible AI innovation.
Sai Krishna Cheemakurthi, VP and Lead Infrastructure Architect at U.S. Bank, explained the business value of AI 'observability mesh.'
Ashish Dibouliya, senior enterprise data architect and managing director at Webster Bank, explained how AI is redefining data governance.
Saurav Ghosh, a VP at Genmab, explained why life sciences leaders must adopt real-time, event-driven AI to overcome slow data and drive innovation.
Hernan De la Torre, Principal at KPMG US, on why most AI investments fall short and how disciplined experimentation turns into measurable value.
Anil Kumar explained why fragmented AI adoption creates risk for banks, and shared a unified strategy for ROI instead.
Matan-Paul Shetrit, Director of Product Management at Writer, explains how the orchestration graph can help enterprises integrate AI more effectively.
Khalid Turk, CHIO at Santa Clara County, explains how layering AI on top of legacy systems creates technical debt that can slow modernization in healthcare.
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